Privacy has received much attention but is still largely ignored in the multimedia community. Consider a cloud computing scenario, where the server is resource-abundant and is capable of finishing the designated tasks, it is envisioned that secure media retrieval and search with privacy-preserving will be seriously treated. In view of the fact that scaleinvariant feature transform (SIFT) has be...

Data aggregation in wireless sensor networks (WSN) helps eliminate information redundancy and increase the lifetime of the network. When homomorphic encryption is used for data aggregation, end-to-end encryption is achieved and aggregation function like average or minimum/maximum can be computed on the encrypted data. Aggregation functions like minimum/maximum rely on comparison operation. But,...

For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let $D$, $F$, and $C$ be data, feature, class sets, respectively, where value $x(F_i)$ label $x(C)$ are given for each $x\in D$ $F_i \in F$. a triple $(D,F,C)$, problem is to find consistent minimal subset $F' \subseteq F$, `consistent' means that, any $x,y\in D$, $x(C)=y(C)$ if $x(F_i)=y(F_i)$ $F_i\in F'$,...

Efficient and privacy-preserving constructions for search functionality on encrypted data is important issues for data outsourcing, and data retrieval, etc. Fully secure anonymous Hierarchical ID-Based Encryption (HIBE) schemes is useful primitives that can be applicable to searchable encryptions [4], such as ID-based searchable encryption, temporary searchable encryption [1], and anonymous for...